Thomas Blankenstein
- Immunology top 0.1%
- Immunotherapy and Immune Responses 104
- Immune Cell Function and Interaction 75
- T-cell and B-cell Immunology 47
- Oncology top 0.2%
- CAR-T cell therapy research 68
- Cancer Immunotherapy and Biomarkers 30
- Cancer Research top 2%
- Biological Psychiatry top 5%
- Genetics top 1%
- Virus-based gene therapy research 45
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- RNA Interference and Gene Delivery 14
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- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Zhihai QinGerald WillimskyTibor DiamantsteinThomas SchülerWolfgang UckertThomas KammertoensGünther RichterMariette Mohaupt
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- European Journal of Immunology (19 papers)The Journal of Experimental Medicine (15 papers)Human Gene Therapy (11 papers)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Thomas Blankenstein
206 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology 6.6k
- Oncology 5.3k
- Cancer Research 896
- Biological Psychiatry 144
- Genetics 1.6k
Countries citing papers authored by Thomas Blankenstein
This map shows the geographic impact of Thomas Blankenstein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Blankenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Blankenstein more than expected).
Fields of papers citing papers by Thomas Blankenstein
This network shows the impact of papers produced by Thomas Blankenstein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Blankenstein. The network helps show where Thomas Blankenstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Blankenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 71 | |
| 11 | 2017 | 38 | |
| 12 | 2017 | 13 | |
| 13 | 2016 | 20 | |
| 14 | 2014 | 58 | |
| 15 | 2013 | 68 | |
| 16 | 2013 | 15 | |
| 17 | 2010 | 26 | |
| 18 | 2008 | 88 | |
| 19 | 2003 | 493 | |
| 20 | Evolutionary aspects structure and expression of the rat interleukin 4 gene | 1990 | 2 |
About Thomas Blankenstein
Thomas Blankenstein is a scholar working on Immunology, Oncology and Genetics, having authored 209 papers that have together received 10.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (104 papers), Immune Cell Function and Interaction (75 papers), CAR-T cell therapy research (68 papers), T-cell and B-cell Immunology (47 papers), Virus-based gene therapy research (45 papers), Cancer Immunotherapy and Biomarkers (30 papers), RNA Interference and Gene Delivery (14 papers) and Monoclonal and Polyclonal Antibodies Research (14 papers). The work is most often cited by research in Immunology (6.6k citations), Oncology (5.3k citations) and Cancer Research (896 citations). Thomas Blankenstein has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Zhihai Qin, Gerald Willimsky, Tibor Diamantstein, Thomas Schüler, Wolfgang Uckert, Thomas Kammertoens, Günther Richter, Mariette Mohaupt, Klaus Überla and Barbara Seliger. Their work appears in journals such as European Journal of Immunology, The Journal of Experimental Medicine, Human Gene Therapy, The Journal of Immunology and International Journal of Cancer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.